How to Use the CoinMarketCap MCP in Google ADK

Q: Can I filter CoinMarketCap tools in Google ADK?

Yes, use the toolnames filter to limit what the agent can access. This keeps your agent focused on specific market tasks.

Connect CoinMarketCap to Google ADK for enterprise data pipelines.

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Connect CoinMarketCap MCP to Google ADK

Create your Vinkius account to connect CoinMarketCap to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CoinMarketCap with Google ADK

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Query market metadata in Google ADK

Feed your Gemini-powered agents static info like project descriptions or logos using `get_metadata`. It gives the model the context it needs to identify specific tokens. Because Google ADK lives inside the Google Cloud ecosystem, you can pipe these results straight into BigQuery. It makes your enterprise data more useful by attaching real-world market context.

Map tokens with Google ADK

Use `get_id_map` to resolve human-readable names into the specific IDs the API requires. It stops the agent from sending malformed requests. This tool handles the heavy lifting of indexing, letting your Gemini model focus on complex reasoning. The agent stays within its 1M+ token limit by only fetching necessary IDs.

Rank exchange liquidity via Google ADK

The agent can pull a ranked list of exchanges using `list_exchanges` to analyze market depth. It helps your model decide which venue to prioritize for trade analysis. By running this on Google ADK, you keep your logic close to your existing cloud infrastructure. It creates a direct link between market intelligence and your backend data.

Setup guide

Set up CoinMarketCap MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with CoinMarketCap tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="CoinMarketCap_agent",
    model="gemini-2.0-flash",
    instruction="You have access to CoinMarketCap tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CoinMarketCap. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about CoinMarketCap MCP in Google ADK

You instantiate an McpToolset with your server URL and pass it into your LlmAgent. It connects your agent to the market data feed natively.

Yes, use the tool_names filter to limit what the agent can access. This keeps your agent focused on specific market tasks.

Gemini models can hold vast amounts of information, making them perfect for analyzing CoinMarketCap trends over long periods. You can feed historical data into the agent for deep analysis.

The server acts as a secure proxy, so your keys stay isolated from your agent logic. Only the requested market quotes ever reach the Google ADK environment.

All traffic is encrypted and ephemeral. Your agent only sees the specific price or metadata result, and no persistent logs of your queries are kept by the server.

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